Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
GPTEACHER: EXAMINING THE EFFICACY OF CHATGPT AS A TOOL FOR PUBLIC HEALTH EDUCATION
10
Zitationen
2
Autoren
2023
Jahr
Abstract
<p>The language used in healthcare to describe diseases, medical procedures, and treatments is identified as medical terminology. Learning medical terminology can be problematic owing to its complexity and volume. Generative Pre-trained Transformer (ChatGPT) is an artificial intelligence (AI) language model that can simulate human conversations while providing individualized feedback, making it potentially a viable tool for learning medical terminology. The purpose of this study is to look at the benefits of using ChatGPT to learn medical terminology. A ChatGPT-based group studied medical terminology using the ChatGPT platform, while a traditional study group heard lectures and read textbooks. Following the study sessions, both groups carried out a test to evaluate their understanding and comprehension of medical terms. The study showed that the ChatGPT-based platform was more effective than traditional teaching techniques in increasing students' knowledge and understanding of medical terminology. When compared to the traditional instruction group, the group using the ChatGPT platform demonstrated significant improvements in their test results. ChatGPT offers the opportunity to improve medical terminology learning by providing students with interactive and individualized feedback. The outcomes of this study can assist with the development of novel and successful teaching techniques incorporating artificial intelligence into education.</p><p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0031/a.php" alt="Hit counter" /></p>
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.260 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.116 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.493 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.438 Zit.